Row 14313
Content Data
This page contains data entry 14313 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Yes.
What you want is that identical atomic environments that are related by a rotation/translation to have the same representation. So you do actually want them to have the same equivariances.
The way you do this is to represent atomic environments in terms of radial and spherical harmonics expansions, and then when you wish to combine these features together (eg to increase the body-order or to do message passing, or to simply make the features more complex), you use Clebsch-Gordon tensor products to mix them together. This operation ensures that the resulting feature is equivariant with respect to E(3) group.
| Field | Value |
|---|---|
| text | Yes. What you want is that identical atomic environments that are related by a rotation/translation to have the same representation. So you do actually want them to have the same equivariances. The way you do this is to represent atomic environments in terms of radial and spherical harmonics expansions, and then when you wish to combine these features together (eg to increase the body-order or to do message passing, or to simply make the features more complex), you use Clebsch-Gordon tensor p… |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-20 |
| username_encoded | Z0FBQUFBQm5Lakw4ZXlySS1oYVRtX25oZmoxeWRoUDNRdHc5Z3libU10dUdfWEhySnNCNk9ZYll3aDRfbHJkNEpRQkRaVTVaZ2d3N0N0dGo3Wk1WOHFpV0xvT0lpYVZPRUE9PQ== |
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Raw Record
{
"text": "Yes.\n\nWhat you want is that identical atomic environments that are related by a rotation/translation to have the same representation. So you do actually want them to have the same equivariances. \n\nThe way you do this is to represent atomic environments in terms of radial and spherical harmonics expansions, and then when you wish to combine these features together (eg to increase the body-order or to do message passing, or to simply make the features more complex), you use Clebsch-Gordon tensor products to mix them together. This operation ensures that the resulting feature is equivariant with respect to E(3) group.",
"label": "r/machinelearning",
"dataType": "comment",
"communityName": "r/MachineLearning",
"datetime": "2024-05-20",
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}
Entry Information
- Entry ID: 14313
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000